Automate code reviews for GitHub pull requests using AI and static analysis tools. Fetch PR diffs, analyze code, execute tests, and generate detailed reports with inline comments for improved code quality.
260,400 tools. Last updated 2026-07-05 06:01
"AI-powered code generation and completion tools for IDEs like VS Code and GitHub" matching MCP tools:
- Scan GitHub repositories for leaked secrets in code, issues, and pull requests. Detects credentials and API keys without modifying any GitHub resources.GPL 3.0
- Execute custom JavaScript code within 3D scenes to create advanced effects, custom shaders, complex geometry, or procedural generation beyond standard tool capabilities.MIT
- Execute AI models for generation and analysis. Use get_model_schema to find parameters; choose to wait for results or receive a task token for async monitoring.MIT
- Generate or modify code files with smart diffs. Provide file path and detailed prompt to create or edit files using context for accurate code generation.MIT
- Monitor progress and retrieve results of infrastructure as code generation jobs. Check status after submitting to see completion and obtain output.Apache 2.0
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- Run a static safety scan on AI skill or workflow markdown to identify risks without executing code. Redacts secret-like evidence to protect sensitive information.MIT
- Analyze code-database dependencies to assess impacts before implementing changes. Use this tool to identify which code relies on specific database objects or how database changes affect code. Essential for validating AI-suggested modifications or SQL code updates.Mozilla Public 2.0
- Generate configuration files for AI development tools like Claude, Cursor, and VS Code to implement standardized naming conventions in microservices projects.MIT
- Analyze project source code to build a queryable code graph. Required before using query tools to explore code structure and dependencies.
- Search 6,500+ developer tools for auth, payments, databases, and infrastructure. Filter by source type, GitHub stars, maintenance health, and compatibility to avoid generating boilerplate code.MIT
- Search a directory of 15,000 AI tools to find one for your task. Use filters like category, pricing, or free-text query.MIT
- Update a shipment's transport information by providing a track and trace code and optionally a transporter code. The update is applied asynchronously; use get_process_status to check completion.MIT
- Search across all GitHub repositories to find code examples, usage patterns, or library imports using advanced queries with regex, boolean operators, and qualifiers.MIT
- Generate, review, refactor, or explain code using IBM Granite instruct models. Also supports test generation and documentation. Billed per call via x402.Apache 2.0
- Replace all content in code editors (Monaco, CodeMirror, Ace, ProseMirror) using their native APIs. Ideal for GitHub gists, CodePen, n8n code nodes, and similar.MIT
- Migrate workspace environments between AI coding agents by syncing MCP server configurations, workflows, rules, and skills across supported IDEs.Apache 2.0
- Check the status of a batch QR code generation job to monitor completion progress, view total, completed, and failed counts, and track individual item statuses.MIT
- Send text or commands to a VS Code terminal. Use getTerminalOutput to verify execution results.MIT
- Analyzes code snippets or GitHub repositories to detect testing frameworks, test functions, and coverage presence without executing code.MIT